Pandas Profiling Report

Dataset statistics

Number of variables	24
Number of observations	2693
Missing cells	2440
Missing cells (%)	3.8%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	505.1 KiB
Average record size in memory	192.0 B

Variable types

Numeric	11
Categorical	9
Boolean	4

Alerts

`host_name` has a high cardinality: 1046 distinct values	High cardinality
`host_since` has a high cardinality: 1189 distinct values	High cardinality
`host_acceptance_rate` has a high cardinality: 61 distinct values	High cardinality
`host_verifications` has a high cardinality: 185 distinct values	High cardinality
`amenities` has a high cardinality: 2631 distinct values	High cardinality
`id` is highly correlated with `host_id`	High correlation
`accommodates` is highly correlated with `room_type` and 2 other fields	High correlation
`bedrooms` is highly correlated with `room_type` and 2 other fields	High correlation
`beds` is highly correlated with `accommodates` and 1 other fields	High correlation
`number_of_reviews` is highly correlated with `reviews_per_month`	High correlation
`reviews_per_month` is highly correlated with `number_of_reviews`	High correlation
`host_response_time` is highly correlated with `host_response_rate` and 1 other fields	High correlation
`host_response_rate` is highly correlated with `host_id` and 5 other fields	High correlation
`host_id` is highly correlated with `id` and 2 other fields	High correlation
`host_acceptance_rate` is highly correlated with `host_id` and 5 other fields	High correlation
`neighbourhood` is highly correlated with `host_response_rate` and 1 other fields	High correlation
`room_type` is highly correlated with `host_response_rate` and 3 other fields	High correlation
`minimum_nights` is highly correlated with `host_acceptance_rate`	High correlation
`has_availability` is highly correlated with `host_response_rate`	High correlation
`host_response_time` has 561 (20.8%) missing values	Missing
`host_response_rate` has 561 (20.8%) missing values	Missing
`host_acceptance_rate` has 306 (11.4%) missing values	Missing
`bedrooms` has 164 (6.1%) missing values	Missing
`beds` has 34 (1.3%) missing values	Missing
`review_scores_rating` has 414 (15.4%) missing values	Missing
`reviews_per_month` has 400 (14.9%) missing values	Missing
`amenities` is uniformly distributed	Uniform
`id` has unique values	Unique
`beds` has 87 (3.2%) zeros	Zeros
`availability_365` has 366 (13.6%) zeros	Zeros
`number_of_reviews` has 400 (14.9%) zeros	Zeros

Reproduction

Analysis started	2022-10-25 03:37:39.247721
Analysis finished	2022-10-25 03:38:10.881451
Duration	31.63 seconds
Software version	pandas-profiling v3.4.0
Download configuration	config.json

id
Real number (ℝ_≥0)

HIGH CORRELATION
UNIQUE

Distinct	2693
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	27091380.81

Minimum	12651
Maximum	47299925
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	21.2 KiB

Quantile statistics

Minimum	12651
5-th percentile	2293877
Q1	16299270
median	28749977
Q3	39469121
95-th percentile	45971436
Maximum	47299925
Range	47287274
Interquartile range (IQR)	23169851

Descriptive statistics

Standard deviation	13789171.58
Coefficient of variation (CV)	0.5089874035
Kurtosis	-1.075274055
Mean	27091380.81
Median Absolute Deviation (MAD)	11191580
Skewness	-0.3160441557
Sum	7.295708851 × 10¹⁰
Variance	1.901412527 × 10¹⁴
Monotonicity	Strictly increasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
12651	1	< 0.1%
36181128	1	< 0.1%
36046093	1	< 0.1%
36074842	1	< 0.1%
36074899	1	< 0.1%
36074974	1	< 0.1%
36101248	1	< 0.1%
36116005	1	< 0.1%
36146876	1	< 0.1%
36180313	1	< 0.1%
Other values (2683)	2683	99.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
12651	1	< 0.1%
39342	1	< 0.1%
40560	1	< 0.1%
44504	1	< 0.1%
45287	1	< 0.1%
45444	1	< 0.1%
55301	1	< 0.1%
63146	1	< 0.1%
72211	1	< 0.1%
83584	1	< 0.1%

Value	Count	Frequency (%)
47299925	1	< 0.1%
47295017	1	< 0.1%
47291853	1	< 0.1%
47274772	1	< 0.1%
47274637	1	< 0.1%
47274445	1	< 0.1%
47274359	1	< 0.1%
47274251	1	< 0.1%
47270034	1	< 0.1%
47268762	1	< 0.1%

host_id
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	1515
Distinct (%)	56.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	91811769

Minimum	249
Maximum	382559015
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	21.2 KiB

Quantile statistics

Minimum	249
5-th percentile	1130179
Q1	13635140
median	48005494
Q3	147286744
95-th percentile	302759750
Maximum	382559015
Range	382558766
Interquartile range (IQR)	133651604

Descriptive statistics

Standard deviation	99219007.04
Coefficient of variation (CV)	1.080678524
Kurtosis	0.2644001559
Mean	91811769
Median Absolute Deviation (MAD)	43195618
Skewness	1.159531113
Sum	2.472490939 × 10¹¹
Variance	9.844411358 × 10¹⁵
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
48005494	56	2.1%
43806	31	1.2%
94282453	24	0.9%
18839434	21	0.8%
9419684	20	0.7%
269221260	19	0.7%
38163072	19	0.7%
6017407	17	0.6%
41574587	16	0.6%
2917744	16	0.6%
Other values (1505)	2454	91.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
249	1	< 0.1%
12561	1	< 0.1%
43806	31	1.2%
49735	3	0.1%
52835	2	0.1%
71812	1	< 0.1%
87889	2	0.1%
89518	1	< 0.1%
92529	1	< 0.1%
100536	1	< 0.1%

Value	Count	Frequency (%)
382559015	7	0.3%
380641928	1	< 0.1%
380309040	2	0.1%
379825113	1	< 0.1%
376763079	2	0.1%
375427836	3	0.1%
375204509	5	0.2%
375074897	1	< 0.1%
373966777	1	< 0.1%
370318518	1	< 0.1%

host_name
Categorical

HIGH CARDINALITY

Distinct	1046
Distinct (%)	38.8%
Missing	0
Missing (%)	0.0%
Memory size	21.2 KiB

Zeus	56
Vic	31
Startup House	27
Alex	27
Kimberly	25
Other values (1041)	2527

Length

Max length	35
Median length	31
Mean length	6.672855551
Min length	1

Characters and Unicode

Total characters	17970
Distinct characters	71
Distinct categories	10 ?
Distinct scripts	3 ?
Distinct blocks	3 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	581 ?
Unique (%)	21.6%

Sample

1st row	Laurel
2nd row	Annette
3rd row	Megan
4th row	Maggie
5th row	Diane And Mike

Common Values

Value	Count	Frequency (%)
Zeus	56	2.1%
Vic	31	1.2%
Startup House	27	1.0%
Alex	27	1.0%
Kimberly	25	0.9%
Kia	23	0.9%
Tribe	21	0.8%
John	20	0.7%
Churchill	20	0.7%
Evgeny	19	0.7%
Other values (1036)	2424	90.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
	79	2.4%
and	69	2.1%
zeus	56	1.7%
vic	31	0.9%
alex	30	0.9%
house	27	0.8%
startup	27	0.8%
kimberly	26	0.8%
kia	23	0.7%
john	22	0.7%
Other values (1060)	2905	88.2%

Most occurring characters

Value	Count	Frequency (%)
a	1929	10.7%
e	1720	9.6%
n	1520	8.5%
i	1438	8.0%
r	1088	6.1%
l	951	5.3%
o	671	3.7%
	621	3.5%
t	576	3.2%
s	544	3.0%
Other values (61)	6912	38.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	13890	77.3%
Uppercase Letter	3289	18.3%
Space Separator	621	3.5%
Other Punctuation	98	0.5%
Open Punctuation	23	0.1%
Close Punctuation	23	0.1%
Dash Punctuation	11	0.1%
Decimal Number	11	0.1%
Other Letter	3	< 0.1%
Math Symbol	1	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	1929	13.9%
e	1720	12.4%
n	1520	10.9%
i	1438	10.4%
r	1088	7.8%
l	951	6.8%
o	671	4.8%
t	576	4.1%
s	544	3.9%
u	520	3.7%
Other values (20)	2933	21.1%

Uppercase Letter

Value	Count	Frequency (%)
A	337	10.2%
M	322	9.8%
J	274	8.3%
S	246	7.5%
C	198	6.0%
L	195	5.9%
K	175	5.3%
E	171	5.2%
R	139	4.2%
V	127	3.9%
Other values (16)	1105	33.6%

Other Punctuation

Value	Count	Frequency (%)
&	73	74.5%
'	16	16.3%
.	8	8.2%
/	1	1.0%

Decimal Number

Value	Count	Frequency (%)
5	9	81.8%
2	1	9.1%
4	1	9.1%

Other Letter

Value	Count	Frequency (%)
勁	1	33.3%
杨	1	33.3%
倩	1	33.3%

Space Separator

Value	Count	Frequency (%)
	621	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	23	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	23	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	11	100.0%

Math Symbol

Value	Count	Frequency (%)
+	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	17179	95.6%
Common	788	4.4%
Han	3	< 0.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	1929	11.2%
e	1720	10.0%
n	1520	8.8%
i	1438	8.4%
r	1088	6.3%
l	951	5.5%
o	671	3.9%
t	576	3.4%
s	544	3.2%
u	520	3.0%
Other values (46)	6222	36.2%

Common

Value	Count	Frequency (%)
	621	78.8%
&	73	9.3%
(	23	2.9%
)	23	2.9%
'	16	2.0%
-	11	1.4%
5	9	1.1%
.	8	1.0%
/	1	0.1%
2	1	0.1%
Other values (2)	2	0.3%

Han

Value	Count	Frequency (%)
勁	1	33.3%
杨	1	33.3%
倩	1	33.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	17961	99.9%
None	6	< 0.1%
CJK	3	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	1929	10.7%
e	1720	9.6%
n	1520	8.5%
i	1438	8.0%
r	1088	6.1%
l	951	5.3%
o	671	3.7%
	621	3.5%
t	576	3.2%
s	544	3.0%
Other values (54)	6903	38.4%

None

Value	Count	Frequency (%)
è	3	50.0%
ê	1	16.7%
ü	1	16.7%
ş	1	16.7%

CJK

Value	Count	Frequency (%)
勁	1	33.3%
杨	1	33.3%
倩	1	33.3%

host_since
Categorical

HIGH CARDINALITY

Distinct	1189
Distinct (%)	44.2%
Missing	0
Missing (%)	0.0%
Memory size	21.2 KiB

11/2/15	56
10/6/09	31
6/17/19	27
9/9/16	24
7/24/14	21
Other values (1184)	2534

Length

Max length	8
Median length	7
Mean length	6.947642035
Min length	6

Characters and Unicode

Total characters	18710
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	665 ?
Unique (%)	24.7%

Sample

1st row	10/29/09
2nd row	5/18/10
3rd row	7/20/10
4th row	8/8/10
5th row	8/13/10

Common Values

Value	Count	Frequency (%)
11/2/15	56	2.1%
10/6/09	31	1.2%
6/17/19	27	1.0%
9/9/16	24	0.9%
7/24/14	21	0.8%
10/14/13	20	0.7%
7/12/12	19	0.7%
7/11/15	19	0.7%
4/20/13	18	0.7%
11/19/18	16	0.6%
Other values (1179)	2442	90.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
11/2/15	56	2.1%
10/6/09	31	1.2%
6/17/19	27	1.0%
9/9/16	24	0.9%
7/24/14	21	0.8%
10/14/13	20	0.7%
7/12/12	19	0.7%
7/11/15	19	0.7%
4/20/13	18	0.7%
11/19/18	16	0.6%
Other values (1179)	2442	90.7%

Most occurring characters

Value	Count	Frequency (%)
/	5386	28.8%
1	5029	26.9%
2	1797	9.6%
6	988	5.3%
5	962	5.1%
9	863	4.6%
3	812	4.3%
4	783	4.2%
7	782	4.2%
8	694	3.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	13324	71.2%
Other Punctuation	5386	28.8%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	5029	37.7%
2	1797	13.5%
6	988	7.4%
5	962	7.2%
9	863	6.5%
3	812	6.1%
4	783	5.9%
7	782	5.9%
8	694	5.2%
0	614	4.6%

Other Punctuation

Value	Count	Frequency (%)
/	5386	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	18710	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
/	5386	28.8%
1	5029	26.9%
2	1797	9.6%
6	988	5.3%
5	962	5.1%
9	863	4.6%
3	812	4.3%
4	783	4.2%
7	782	4.2%
8	694	3.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	18710	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
/	5386	28.8%
1	5029	26.9%
2	1797	9.6%
6	988	5.3%
5	962	5.1%
9	863	4.6%
3	812	4.3%
4	783	4.2%
7	782	4.2%
8	694	3.7%

host_response_time
Categorical

HIGH CORRELATION
MISSING

Distinct	4
Distinct (%)	0.2%
Missing	561
Missing (%)	20.8%
Memory size	21.2 KiB

within an hour	1572
within a few hours	333
within a day	182
a few days or more	45

Length

Max length	18
Median length	14
Mean length	14.53846154
Min length	12

Characters and Unicode

Total characters	30996
Distinct characters	16
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	within an hour
2nd row	within a few hours
3rd row	within an hour
4th row	within an hour
5th row	within an hour

Common Values

Value	Count	Frequency (%)
within an hour	1572	58.4%
within a few hours	333	12.4%
within a day	182	6.8%
a few days or more	45	1.7%
(Missing)	561	20.8%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
within	2087	30.6%
an	1572	23.1%
hour	1572	23.1%
a	560	8.2%
few	378	5.5%
hours	333	4.9%
day	182	2.7%
days	45	0.7%
or	45	0.7%
more	45	0.7%

Most occurring characters

Value	Count	Frequency (%)
	4687	15.1%
i	4174	13.5%
h	3992	12.9%
n	3659	11.8%
w	2465	8.0%
a	2359	7.6%
t	2087	6.7%
o	1995	6.4%
r	1995	6.4%
u	1905	6.1%
Other values (6)	1678	5.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	26309	84.9%
Space Separator	4687	15.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
i	4174	15.9%
h	3992	15.2%
n	3659	13.9%
w	2465	9.4%
a	2359	9.0%
t	2087	7.9%
o	1995	7.6%
r	1995	7.6%
u	1905	7.2%
e	423	1.6%
Other values (5)	1255	4.8%

Space Separator

Value	Count	Frequency (%)
	4687	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	26309	84.9%
Common	4687	15.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
i	4174	15.9%
h	3992	15.2%
n	3659	13.9%
w	2465	9.4%
a	2359	9.0%
t	2087	7.9%
o	1995	7.6%
r	1995	7.6%
u	1905	7.2%
e	423	1.6%
Other values (5)	1255	4.8%

Common

Value	Count	Frequency (%)
	4687	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	30996	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	4687	15.1%
i	4174	13.5%
h	3992	12.9%
n	3659	11.8%
w	2465	8.0%
a	2359	7.6%
t	2087	6.7%
o	1995	6.4%
r	1995	6.4%
u	1905	6.1%
Other values (6)	1678	5.4%

host_response_rate
Categorical

HIGH CORRELATION
MISSING

Distinct	35
Distinct (%)	1.6%
Missing	561
Missing (%)	20.8%
Memory size	21.2 KiB

100%	1646
97%	65
90%	45
91%	34
94%	32
Other values (30)	310

Length

Max length	4
Median length	4
Mean length	3.760787992
Min length	2

Characters and Unicode

Total characters	8018
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	5 ?
Unique (%)	0.2%

Sample

1st row	100%
2nd row	100%
3rd row	100%
4th row	100%
5th row	100%

Common Values

Value	Count	Frequency (%)
100%	1646	61.1%
97%	65	2.4%
90%	45	1.7%
91%	34	1.3%
94%	32	1.2%
99%	30	1.1%
50%	29	1.1%
80%	24	0.9%
0%	24	0.9%
96%	22	0.8%
Other values (25)	181	6.7%
(Missing)	561	20.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
100	1646	77.2%
97	65	3.0%
90	45	2.1%
91	34	1.6%
94	32	1.5%
99	30	1.4%
50	29	1.4%
0	24	1.1%
80	24	1.1%
96	22	1.0%
Other values (25)	181	8.5%

Most occurring characters

Value	Count	Frequency (%)
0	3430	42.8%
%	2132	26.6%
1	1688	21.1%
9	325	4.1%
8	101	1.3%
7	91	1.1%
6	85	1.1%
5	71	0.9%
3	46	0.6%
4	38	0.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	5886	73.4%
Other Punctuation	2132	26.6%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3430	58.3%
1	1688	28.7%
9	325	5.5%
8	101	1.7%
7	91	1.5%
6	85	1.4%
5	71	1.2%
3	46	0.8%
4	38	0.6%
2	11	0.2%

Other Punctuation

Value	Count	Frequency (%)
%	2132	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	8018	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3430	42.8%
%	2132	26.6%
1	1688	21.1%
9	325	4.1%
8	101	1.3%
7	91	1.1%
6	85	1.1%
5	71	0.9%
3	46	0.6%
4	38	0.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	8018	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3430	42.8%
%	2132	26.6%
1	1688	21.1%
9	325	4.1%
8	101	1.3%
7	91	1.1%
6	85	1.1%
5	71	0.9%
3	46	0.6%
4	38	0.5%

host_acceptance_rate
Categorical

HIGH CARDINALITY
HIGH CORRELATION
MISSING

Distinct	61
Distinct (%)	2.6%
Missing	306
Missing (%)	11.4%
Memory size	21.2 KiB

100%	893
99%	244
98%	149
97%	122
95%	82
Other values (56)	897

Length

Max length	4
Median length	3
Mean length	3.344784248
Min length	2

Characters and Unicode

Total characters	7984
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	8 ?
Unique (%)	0.3%

Sample

1st row	98%
2nd row	40%
3rd row	48%
4th row	100%
5th row	94%

Common Values

Value	Count	Frequency (%)
100%	893	33.2%
99%	244	9.1%
98%	149	5.5%
97%	122	4.5%
95%	82	3.0%
90%	80	3.0%
0%	70	2.6%
96%	66	2.5%
86%	53	2.0%
92%	47	1.7%
Other values (51)	581	21.6%
(Missing)	306	11.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
100	893	37.4%
99	244	10.2%
98	149	6.2%
97	122	5.1%
95	82	3.4%
90	80	3.4%
0	70	2.9%
96	66	2.8%
86	53	2.2%
92	47	2.0%
Other values (51)	581	24.3%

Most occurring characters

Value	Count	Frequency (%)
%	2387	29.9%
0	2033	25.5%
9	1211	15.2%
1	952	11.9%
8	422	5.3%
6	259	3.2%
7	254	3.2%
5	174	2.2%
3	119	1.5%
2	95	1.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	5597	70.1%
Other Punctuation	2387	29.9%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	2033	36.3%
9	1211	21.6%
1	952	17.0%
8	422	7.5%
6	259	4.6%
7	254	4.5%
5	174	3.1%
3	119	2.1%
2	95	1.7%
4	78	1.4%

Other Punctuation

Value	Count	Frequency (%)
%	2387	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	7984	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
%	2387	29.9%
0	2033	25.5%
9	1211	15.2%
1	952	11.9%
8	422	5.3%
6	259	3.2%
7	254	3.2%
5	174	2.2%
3	119	1.5%
2	95	1.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	7984	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
%	2387	29.9%
0	2033	25.5%
9	1211	15.2%
1	952	11.9%
8	422	5.3%
6	259	3.2%
7	254	3.2%
5	174	2.2%
3	119	1.5%
2	95	1.2%

host_is_superhost
Boolean

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.8 KiB

False	1488
True	1205

Common Values
Category Frequency Plot

Value	Count	Frequency (%)
False	1488	55.3%
True	1205	44.7%

host_verifications
Categorical

HIGH CARDINALITY

Distinct	185
Distinct (%)	6.9%
Missing	0
Missing (%)	0.0%
Memory size	21.2 KiB

['email', 'phone', 'reviews', 'kba']	198
['email', 'phone']	190
['email', 'phone', 'reviews', 'jumio', 'offline_government_id', 'selfie', 'government_id', 'identity_manual']	142
['email', 'phone', 'reviews', 'jumio', 'government_id']	140
['email', 'phone', 'reviews', 'jumio', 'offline_government_id', 'government_id']	130
Other values (180)	1893

Length

Max length	165
Median length	128
Mean length	69.27664315
Min length	7

Characters and Unicode

Total characters	186562
Distinct characters	30
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	62 ?
Unique (%)	2.3%

Sample

1st row	['email', 'phone', 'facebook', 'reviews', 'kba']
2nd row	['email', 'phone', 'reviews', 'offline_government_id', 'kba', 'government_id']
3rd row	['email', 'phone', 'reviews', 'jumio', 'offline_government_id', 'government_id']
4th row	['email', 'phone', 'facebook', 'reviews', 'offline_government_id', 'kba', 'selfie', 'government_id', 'identity_manual', 'work_email']
5th row	['email', 'phone', 'reviews', 'kba']

Common Values

Value	Count	Frequency (%)
['email', 'phone', 'reviews', 'kba']	198	7.4%
['email', 'phone']	190	7.1%
['email', 'phone', 'reviews', 'jumio', 'offline_government_id', 'selfie', 'government_id', 'identity_manual']	142	5.3%
['email', 'phone', 'reviews', 'jumio', 'government_id']	140	5.2%
['email', 'phone', 'reviews', 'jumio', 'offline_government_id', 'government_id']	130	4.8%
['email', 'phone', 'reviews']	130	4.8%
['email', 'phone', 'offline_government_id', 'government_id']	130	4.8%
['email', 'phone', 'reviews', 'jumio', 'government_id', 'work_email']	111	4.1%
['email', 'phone', 'offline_government_id', 'selfie', 'government_id', 'identity_manual']	90	3.3%
['email', 'phone', 'reviews', 'jumio', 'offline_government_id', 'government_id', 'work_email']	68	2.5%
Other values (175)	1364	50.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
phone	2689	18.1%
email	2525	17.0%
reviews	1929	13.0%
government_id	1867	12.5%
offline_government_id	1421	9.5%
jumio	1183	8.0%
selfie	785	5.3%
identity_manual	665	4.5%
kba	593	4.0%
work_email	520	3.5%
Other values (9)	703	4.7%

Most occurring characters

Value	Count	Frequency (%)
'	29760	16.0%
e	20535	11.0%
i	13102	7.0%
n	12262	6.6%
,	12187	6.5%
	12187	6.5%
o	10366	5.6%
m	8280	4.4%
l	6278	3.4%
_	6007	3.2%
Other values (20)	55598	29.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	121035	64.9%
Other Punctuation	41947	22.5%
Space Separator	12187	6.5%
Connector Punctuation	6007	3.2%
Close Punctuation	2693	1.4%
Open Punctuation	2693	1.4%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	20535	17.0%
i	13102	10.8%
n	12262	10.1%
o	10366	8.6%
m	8280	6.8%
l	6278	5.2%
r	5737	4.7%
a	5570	4.6%
v	5217	4.3%
t	4634	3.8%
Other values (14)	29054	24.0%

Other Punctuation

Value	Count	Frequency (%)
'	29760	70.9%
,	12187	29.1%

Space Separator

Value	Count	Frequency (%)
	12187	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	6007	100.0%

Close Punctuation

Value	Count	Frequency (%)
]	2693	100.0%

Open Punctuation

Value	Count	Frequency (%)
[	2693	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	121035	64.9%
Common	65527	35.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	20535	17.0%
i	13102	10.8%
n	12262	10.1%
o	10366	8.6%
m	8280	6.8%
l	6278	5.2%
r	5737	4.7%
a	5570	4.6%
v	5217	4.3%
t	4634	3.8%
Other values (14)	29054	24.0%

Common

Value	Count	Frequency (%)
'	29760	45.4%
,	12187	18.6%
	12187	18.6%
_	6007	9.2%
]	2693	4.1%
[	2693	4.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	186562	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
'	29760	16.0%
e	20535	11.0%
i	13102	7.0%
n	12262	6.6%
,	12187	6.5%
	12187	6.5%
o	10366	5.6%
m	8280	4.4%
l	6278	3.4%
_	6007	3.2%
Other values (20)	55598	29.8%

host_identity_verified
Boolean

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.8 KiB

True	2174
False	519

Common Values
Category Frequency Plot

Value	Count	Frequency (%)
True	2174	80.7%
False	519	19.3%

neighbourhood
Categorical

HIGH CORRELATION

Distinct	21
Distinct (%)	0.8%
Missing	0
Missing (%)	0.0%
Memory size	21.2 KiB

Daly City	455
Unincorporated Areas	316
San Mateo	288
Menlo Park	249
Redwood City	228
Other values (16)	1157

Length

Max length	20
Median length	14
Mean length	11.64054957
Min length	5

Characters and Unicode

Total characters	31348
Distinct characters	36
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Menlo Park
2nd row	Pacifica
3rd row	East Palo Alto
4th row	Burlingame
5th row	Burlingame

Common Values

Value	Count	Frequency (%)
Daly City	455	16.9%
Unincorporated Areas	316	11.7%
San Mateo	288	10.7%
Menlo Park	249	9.2%
Redwood City	228	8.5%
East Palo Alto	185	6.9%
South San Francisco	166	6.2%
Pacifica	137	5.1%
San Bruno	118	4.4%
Burlingame	102	3.8%
Other values (11)	449	16.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
city	738	14.0%
san	652	12.3%
daly	455	8.6%
unincorporated	316	6.0%
areas	316	6.0%
mateo	288	5.4%
menlo	249	4.7%
park	249	4.7%
redwood	228	4.3%
east	185	3.5%
Other values (21)	1614	30.5%

Most occurring characters

Value	Count	Frequency (%)
a	3492	11.1%
o	2897	9.2%
	2597	8.3%
n	2090	6.7%
t	2073	6.6%
r	1883	6.0%
e	1788	5.7%
i	1747	5.6%
l	1590	5.1%
y	1249	4.0%
Other values (26)	9942	31.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	23461	74.8%
Uppercase Letter	5290	16.9%
Space Separator	2597	8.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	3492	14.9%
o	2897	12.3%
n	2090	8.9%
t	2073	8.8%
r	1883	8.0%
e	1788	7.6%
i	1747	7.4%
l	1590	6.8%
y	1249	5.3%
c	922	3.9%
Other values (11)	3730	15.9%

Uppercase Letter

Value	Count	Frequency (%)
C	828	15.7%
S	818	15.5%
M	665	12.6%
P	577	10.9%
A	538	10.2%
D	455	8.6%
B	354	6.7%
U	316	6.0%
R	228	4.3%
F	221	4.2%
Other values (4)	290	5.5%

Space Separator

Value	Count	Frequency (%)
	2597	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	28751	91.7%
Common	2597	8.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	3492	12.1%
o	2897	10.1%
n	2090	7.3%
t	2073	7.2%
r	1883	6.5%
e	1788	6.2%
i	1747	6.1%
l	1590	5.5%
y	1249	4.3%
c	922	3.2%
Other values (25)	9020	31.4%

Common

Value	Count	Frequency (%)
	2597	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	31348	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	3492	11.1%
o	2897	9.2%
	2597	8.3%
n	2090	6.7%
t	2073	6.6%
r	1883	6.0%
e	1788	5.7%
i	1747	5.6%
l	1590	5.1%
y	1249	4.0%
Other values (26)	9942	31.7%

room_type
Categorical

HIGH CORRELATION

Distinct	4
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	21.2 KiB

Entire home/apt	1571
Private room	980
Shared room	139
Hotel room	3

Length

Max length	15
Median length	15
Mean length	13.69624954
Min length	10

Characters and Unicode

Total characters	36884
Distinct characters	19
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Entire home/apt
2nd row	Entire home/apt
3rd row	Private room
4th row	Entire home/apt
5th row	Entire home/apt

Common Values

Value	Count	Frequency (%)
Entire home/apt	1571	58.3%
Private room	980	36.4%
Shared room	139	5.2%
Hotel room	3	0.1%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
entire	1571	29.2%
home/apt	1571	29.2%
room	1122	20.8%
private	980	18.2%
shared	139	2.6%
hotel	3	0.1%

Most occurring characters

Value	Count	Frequency (%)
e	4264	11.6%
t	4125	11.2%
o	3818	10.4%
r	3812	10.3%
m	2693	7.3%
	2693	7.3%
a	2690	7.3%
i	2551	6.9%
h	1710	4.6%
p	1571	4.3%
Other values (9)	6957	18.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	29927	81.1%
Space Separator	2693	7.3%
Uppercase Letter	2693	7.3%
Other Punctuation	1571	4.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	4264	14.2%
t	4125	13.8%
o	3818	12.8%
r	3812	12.7%
m	2693	9.0%
a	2690	9.0%
i	2551	8.5%
h	1710	5.7%
p	1571	5.2%
n	1571	5.2%
Other values (3)	1122	3.7%

Uppercase Letter

Value	Count	Frequency (%)
E	1571	58.3%
P	980	36.4%
S	139	5.2%
H	3	0.1%

Space Separator

Value	Count	Frequency (%)
	2693	100.0%

Other Punctuation

Value	Count	Frequency (%)
/	1571	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	32620	88.4%
Common	4264	11.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	4264	13.1%
t	4125	12.6%
o	3818	11.7%
r	3812	11.7%
m	2693	8.3%
a	2690	8.2%
i	2551	7.8%
h	1710	5.2%
p	1571	4.8%
E	1571	4.8%
Other values (7)	3815	11.7%

Common

Value	Count	Frequency (%)
	2693	63.2%
/	1571	36.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	36884	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	4264	11.6%
t	4125	11.2%
o	3818	10.4%
r	3812	10.3%
m	2693	7.3%
	2693	7.3%
a	2690	7.3%
i	2551	6.9%
h	1710	4.6%
p	1571	4.3%
Other values (9)	6957	18.9%

accommodates
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	17
Distinct (%)	0.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.869662087

Minimum	0
Maximum	16
Zeros	2
Zeros (%)	0.1%
Negative	0
Negative (%)	0.0%
Memory size	21.2 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	2
median	2
Q3	5
95-th percentile	10
Maximum	16
Range	16
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	3.156236979
Coefficient of variation (CV)	0.8156363291
Kurtosis	3.52192029
Mean	3.869662087
Median Absolute Deviation (MAD)	1
Skewness	1.820609723
Sum	10421
Variance	9.961831869
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=17)

Value	Count	Frequency (%)
2	936	34.8%
1	426	15.8%
4	363	13.5%
6	235	8.7%
3	192	7.1%
5	151	5.6%
8	121	4.5%
10	57	2.1%
7	56	2.1%
16	48	1.8%
Other values (7)	108	4.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	2	0.1%
1	426	15.8%
2	936	34.8%
3	192	7.1%
4	363	13.5%
5	151	5.6%
6	235	8.7%
7	56	2.1%
8	121	4.5%
9	30	1.1%

Value	Count	Frequency (%)
16	48	1.8%
15	9	0.3%
14	14	0.5%
13	5	0.2%
12	38	1.4%
11	10	0.4%
10	57	2.1%
9	30	1.1%
8	121	4.5%
7	56	2.1%

bedrooms
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING

Distinct	8
Distinct (%)	0.3%
Missing	164
Missing (%)	6.1%
Infinite	0
Infinite (%)	0.0%
Mean	1.70897588

Minimum	1
Maximum	8
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	21.2 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	1
Q3	2
95-th percentile	4
Maximum	8
Range	7
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	1.156607026
Coefficient of variation (CV)	0.6767837041
Kurtosis	3.618077353
Mean	1.70897588
Median Absolute Deviation (MAD)	0
Skewness	1.881852762
Sum	4322
Variance	1.337739813
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=8)

Value	Count	Frequency (%)
1	1600	59.4%
2	433	16.1%
3	266	9.9%
4	134	5.0%
5	68	2.5%
6	18	0.7%
7	6	0.2%
8	4	0.1%
(Missing)	164	6.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	1600	59.4%
2	433	16.1%
3	266	9.9%
4	134	5.0%
5	68	2.5%
6	18	0.7%
7	6	0.2%
8	4	0.1%

Value	Count	Frequency (%)
8	4	0.1%
7	6	0.2%
6	18	0.7%
5	68	2.5%
4	134	5.0%
3	266	9.9%
2	433	16.1%
1	1600	59.4%

beds
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING
ZEROS

Distinct	21
Distinct (%)	0.8%
Missing	34
Missing (%)	1.3%
Infinite	0
Infinite (%)	0.0%
Mean	2.21963144

Minimum	0
Maximum	27
Zeros	87
Zeros (%)	3.2%
Negative	0
Negative (%)	0.0%
Memory size	21.2 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	1
median	1
Q3	3
95-th percentile	6
Maximum	27
Range	27
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	2.031332377
Coefficient of variation (CV)	0.9151665182
Kurtosis	20.02815135
Mean	2.21963144
Median Absolute Deviation (MAD)	1
Skewness	3.214001409
Sum	5902
Variance	4.126311226
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=21)

Value	Count	Frequency (%)
1	1275	47.3%
2	506	18.8%
3	316	11.7%
4	203	7.5%
5	99	3.7%
0	87	3.2%
6	72	2.7%
8	34	1.3%
7	29	1.1%
9	11	0.4%
Other values (11)	27	1.0%
(Missing)	34	1.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	87	3.2%
1	1275	47.3%
2	506	18.8%
3	316	11.7%
4	203	7.5%
5	99	3.7%
6	72	2.7%
7	29	1.1%
8	34	1.3%
9	11	0.4%

Value	Count	Frequency (%)
27	1	< 0.1%
23	1	< 0.1%
20	1	< 0.1%
17	1	< 0.1%
16	1	< 0.1%
15	2	0.1%
14	1	< 0.1%
13	1	< 0.1%
12	5	0.2%
11	4	0.1%

amenities
Categorical

HIGH CARDINALITY
UNIFORM

Distinct	2631
Distinct (%)	97.7%
Missing	0
Missing (%)	0.0%
Memory size	21.2 KiB

["Refrigerator", "Hot water", "Dishes and silverware", "Patio or balcony", "Bed linens", "Oven", "Hair dryer", "Extra pillows and blankets", "Long term stays allowed", "Hangers", "Smoke alarm", "Paid parking on premises", "Coffee maker", "Wifi", "Iron", "Microwave", "Dryer", "TV", "Private entrance", "Dedicated workspace", "Cooking basics", "Kitchen", "Shampoo", "Essentials", "Carbon monoxide alarm", "Washer", "Stove"]	4
["Iron", "Kitchen", "Smoke alarm", "TV", "First aid kit", "Fire extinguisher", "Carbon monoxide alarm", "Washer", "Heating", "Wifi", "Hangers", "Free parking on premises", "Dedicated workspace", "Dryer", "Hair dryer"]	4
["Microwave", "Smoke alarm", "Dedicated workspace", "Refrigerator", "Dryer", "Luggage dropoff allowed", "Wifi", "Heating", "Fire extinguisher", "Essentials", "Carbon monoxide alarm", "Washer", "Long term stays allowed", "First aid kit", "Hangers"]	3
["Smoke alarm", "Keypad", "Dedicated workspace", "Dryer", "Hot water", "TV", "Kitchen", "Wifi", "Heating", "Iron", "Fire extinguisher", "Hair dryer", "Essentials", "Carbon monoxide alarm", "Washer", "First aid kit", "Hangers"]	3
["Oven", "Dryer", "Pool", "Hot water", "Stove", "Hair dryer", "Kitchen", "Microwave", "Long term stays allowed", "Indoor fireplace", "Shampoo", "Single level home", "Iron", "Washer", "Dishes and silverware", "Garden or backyard", "Coffee maker", "TV", "Wifi", "Cable TV", "Air conditioning", "Cooking basics", "Extra pillows and blankets", "Heating", "Carbon monoxide alarm", "Bed linens", "Refrigerator", "Host greets you", "Breakfast", "Luggage dropoff allowed", "First aid kit", "Hangers", "BBQ grill", "Dishwasher", "Dedicated workspace", "Smoke alarm", "Free parking on premises", "Patio or balcony", "Essentials"]	3
Other values (2626)	2676

Length

Max length	958
Median length	611
Mean length	431.3887857
Min length	2

Characters and Unicode

Total characters	1161730
Distinct characters	70
Distinct categories	8 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2582 ?
Unique (%)	95.9%

Sample

1st row	["Private entrance", "Long term stays allowed", "Garden or backyard", "TJs Tea Tree Tingle conditioner", "Hot water", "Wifi", "Washer", "Kitchen", "Dryer", "Shampoo", "Essentials", "Hair dryer", "Luggage dropoff allowed", "Shower gel", "Portable fans", "Free street parking", "Dedicated workspace", "Heating", "Carbon monoxide alarm", "Iron", "Extra pillows and blankets", "Refrigerator", "Fire extinguisher", "Hangers", "First aid kit", "Smoke alarm", "Microwave", "Coffee maker", "Dishes and silverware", "Single level home", "Free parking on premises", "Patio or balcony", "Bed linens"]
2nd row	["Refrigerator", "Hot water", "Dishes and silverware", "Patio or balcony", "Bed linens", "Oven", "Hair dryer", "Extra pillows and blankets", "Long term stays allowed", "Hangers", "Smoke alarm", "Luggage dropoff allowed", "Coffee maker", "Wifi", "Iron", "Free street parking", "Microwave", "Keypad", "Dryer", "TV", "Private entrance", "Cable TV", "Dedicated workspace", "Cooking basics", "Kitchen", "Heating", "Fire extinguisher", "Shampoo", "Essentials", "Carbon monoxide alarm", "Washer", "Stove"]
3rd row	["Hot water", "Hangers", "Wifi", "Host greets you", "Smoke alarm", "EV charger", "First aid kit", "Luggage dropoff allowed", "Dishes and silverware", "Hair dryer", "Essentials", "Coffee maker", "Dedicated workspace", "Heating", "Iron", "Long term stays allowed", "Free street parking", "Carbon monoxide alarm", "Garden or backyard", "Cleaning before checkout", "Cable TV", "TV", "Shampoo"]
4th row	["Iron", "Dishes and silverware", "Shampoo", "Laundromat nearby", "Fire extinguisher", "Patio or balcony", "Essentials", "Wine glasses", "Microwave", "Free street parking", "Smoke alarm", "First aid kit", "Carbon monoxide alarm", "Clothing storage", "Cleaning products", "Pour-over coffee", "Dedicated workspace", "Hair dryer", "Dining table", "Hot water", "Bed linens", "TV", "Heating", "Hangers", "Wifi", "Private entrance", "Coffee maker", "Room-darkening shades", "Refrigerator", "Hot water kettle", "Mini fridge", "Host greets you", "Extra pillows and blankets"]
5th row	["Refrigerator", "Hot water", "Lockbox", "Dishes and silverware", "Patio or balcony", "Bed linens", "Oven", "Hair dryer", "Extra pillows and blankets", "Hangers", "Smoke alarm", "Luggage dropoff allowed", "Ethernet connection", "Coffee maker", "Wifi", "Iron", "Free street parking", "Shower gel", "Host greets you", "First aid kit", "Microwave", "Breakfast", "Dryer", "TV", "Private entrance", "Cable TV", "Garden or backyard", "Single level home", "Dedicated workspace", "Free parking on premises", "Kitchen", "Heating", "Fire extinguisher", "Shampoo", "Essentials", "Carbon monoxide alarm", "Washer", "Baking sheet"]

Common Values

Value	Count	Frequency (%)
["Refrigerator", "Hot water", "Dishes and silverware", "Patio or balcony", "Bed linens", "Oven", "Hair dryer", "Extra pillows and blankets", "Long term stays allowed", "Hangers", "Smoke alarm", "Paid parking on premises", "Coffee maker", "Wifi", "Iron", "Microwave", "Dryer", "TV", "Private entrance", "Dedicated workspace", "Cooking basics", "Kitchen", "Shampoo", "Essentials", "Carbon monoxide alarm", "Washer", "Stove"]	4	0.1%
["Iron", "Kitchen", "Smoke alarm", "TV", "First aid kit", "Fire extinguisher", "Carbon monoxide alarm", "Washer", "Heating", "Wifi", "Hangers", "Free parking on premises", "Dedicated workspace", "Dryer", "Hair dryer"]	4	0.1%
["Microwave", "Smoke alarm", "Dedicated workspace", "Refrigerator", "Dryer", "Luggage dropoff allowed", "Wifi", "Heating", "Fire extinguisher", "Essentials", "Carbon monoxide alarm", "Washer", "Long term stays allowed", "First aid kit", "Hangers"]	3	0.1%
["Smoke alarm", "Keypad", "Dedicated workspace", "Dryer", "Hot water", "TV", "Kitchen", "Wifi", "Heating", "Iron", "Fire extinguisher", "Hair dryer", "Essentials", "Carbon monoxide alarm", "Washer", "First aid kit", "Hangers"]	3	0.1%
["Oven", "Dryer", "Pool", "Hot water", "Stove", "Hair dryer", "Kitchen", "Microwave", "Long term stays allowed", "Indoor fireplace", "Shampoo", "Single level home", "Iron", "Washer", "Dishes and silverware", "Garden or backyard", "Coffee maker", "TV", "Wifi", "Cable TV", "Air conditioning", "Cooking basics", "Extra pillows and blankets", "Heating", "Carbon monoxide alarm", "Bed linens", "Refrigerator", "Host greets you", "Breakfast", "Luggage dropoff allowed", "First aid kit", "Hangers", "BBQ grill", "Dishwasher", "Dedicated workspace", "Smoke alarm", "Free parking on premises", "Patio or balcony", "Essentials"]	3	0.1%
["Iron", "Kitchen", "Air conditioning", "TV", "Smoke alarm", "Fire extinguisher", "First aid kit", "Carbon monoxide alarm", "Heating", "Washer", "Wifi", "Hangers", "Dedicated workspace", "Dryer", "Hair dryer"]	3	0.1%
["Smoke alarm", "Wifi", "First aid kit", "Heating", "Kitchen", "Dryer", "Hangers", "Hair dryer", "Iron", "TV", "Fire extinguisher", "Dedicated workspace", "Washer", "Air conditioning", "Carbon monoxide alarm"]	3	0.1%
["Kitchen", "Air conditioning", "Smoke alarm", "First aid kit", "Fire extinguisher", "Carbon monoxide alarm", "Washer", "Hangers", "Heating", "Essentials", "Wifi", "Pool", "Dedicated workspace", "Dryer"]	3	0.1%
["Refrigerator", "Free parking on premises", "Heating", "Hangers", "Hair dryer", "TV", "Dedicated workspace", "Stove", "Air conditioning", "Essentials", "Smoke alarm", "Dryer", "Lockbox", "Iron", "Shampoo", "Elevator", "Bed linens", "Kitchen", "Washer", "Carbon monoxide alarm", "Wifi", "Long term stays allowed", "Bathtub", "Hot water", "Oven", "Cable TV"]	3	0.1%
["Oven", "Hot water", "Stove", "Hair dryer", "Kitchen", "Microwave", "Long term stays allowed", "Indoor fireplace", "Shampoo", "Iron", "Lock on bedroom door", "Dishes and silverware", "Free street parking", "Keypad", "Coffee maker", "Wifi", "Fire extinguisher", "Cooking basics", "Extra pillows and blankets", "Heating", "Carbon monoxide alarm", "Bed linens", "Refrigerator", "Luggage dropoff allowed", "Hangers", "Dishwasher", "Dedicated workspace", "Smoke alarm", "Free parking on premises", "Essentials"]	3	0.1%
Other values (2621)	2661	98.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
alarm	4977	3.6%
dryer	4313	3.2%
parking	3670	2.7%
free	3572	2.6%
and	3181	2.3%
tv	2947	2.2%
on	2738	2.0%
wifi	2700	2.0%
essentials	2634	1.9%
smoke	2564	1.9%
Other values (311)	103101	75.6%

Most occurring characters

Value	Count	Frequency (%)
"	146937	12.6%
	133706	11.5%
e	96218	8.3%
r	78188	6.7%
a	73425	6.3%
,	70798	6.1%
i	59823	5.1%
o	57660	5.0%
n	49380	4.3%
s	43640	3.8%
Other values (60)	351955	30.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	722617	62.2%
Other Punctuation	218584	18.8%
Space Separator	133706	11.5%
Uppercase Letter	78746	6.8%
Close Punctuation	2697	0.2%
Open Punctuation	2697	0.2%
Decimal Number	2351	0.2%
Dash Punctuation	332	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	96218	13.3%
r	78188	10.8%
a	73425	10.2%
i	59823	8.3%
o	57660	8.0%
n	49380	6.8%
s	43640	6.0%
t	40307	5.6%
l	26413	3.7%
d	25620	3.5%
Other values (14)	171943	23.8%

Uppercase Letter

Value	Count	Frequency (%)
H	10044	12.8%
S	7600	9.7%
C	7181	9.1%
D	7058	9.0%
F	6940	8.8%
W	4776	6.1%
E	4323	5.5%
B	4096	5.2%
P	3627	4.6%
L	3229	4.1%
Other values (13)	19872	25.2%

Decimal Number

Value	Count	Frequency (%)
0	704	29.9%
1	551	23.4%
2	541	23.0%
9	437	18.6%
3	100	4.3%
5	12	0.5%
7	2	0.1%
6	2	0.1%
4	1	< 0.1%
8	1	< 0.1%

Other Punctuation

Value	Count	Frequency (%)
"	146937	67.2%
,	70798	32.4%
\	596	0.3%
/	201	0.1%
&	41	< 0.1%
:	10	< 0.1%
.	1	< 0.1%

Close Punctuation

Value	Count	Frequency (%)
]	2693	99.9%
)	4	0.1%

Open Punctuation

Value	Count	Frequency (%)
[	2693	99.9%
(	4	0.1%

Space Separator

Value	Count	Frequency (%)
	133706	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	332	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	801363	69.0%
Common	360367	31.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	96218	12.0%
r	78188	9.8%
a	73425	9.2%
i	59823	7.5%
o	57660	7.2%
n	49380	6.2%
s	43640	5.4%
t	40307	5.0%
l	26413	3.3%
d	25620	3.2%
Other values (37)	250689	31.3%

Common

Value	Count	Frequency (%)
"	146937	40.8%
	133706	37.1%
,	70798	19.6%
]	2693	0.7%
[	2693	0.7%
0	704	0.2%
\	596	0.2%
1	551	0.2%
2	541	0.2%
9	437	0.1%
Other values (13)	711	0.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1161730	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
"	146937	12.6%
	133706	11.5%
e	96218	8.3%
r	78188	6.7%
a	73425	6.3%
,	70798	6.1%
i	59823	5.1%
o	57660	5.0%
n	49380	4.3%
s	43640	3.8%
Other values (60)	351955	30.3%

minimum_nights
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	37
Distinct (%)	1.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	8.086520609

Minimum	1
Maximum	365
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	21.2 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	2
Q3	5
95-th percentile	30
Maximum	365
Range	364
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	18.12863522
Coefficient of variation (CV)	2.241833799
Kurtosis	127.8365836
Mean	8.086520609
Median Absolute Deviation (MAD)	1
Skewness	8.517712019
Sum	21777
Variance	328.6474148
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=37)

Value	Count	Frequency (%)
1	900	33.4%
2	653	24.2%
3	319	11.8%
30	243	9.0%
5	105	3.9%
4	101	3.8%
7	90	3.3%
14	53	2.0%
31	43	1.6%
15	29	1.1%
Other values (27)	157	5.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	900	33.4%
2	653	24.2%
3	319	11.8%
4	101	3.8%
5	105	3.9%
6	9	0.3%
7	90	3.3%
9	2	0.1%
10	19	0.7%
12	3	0.1%

Value	Count	Frequency (%)
365	2	0.1%
183	1	< 0.1%
180	3	0.1%
120	1	< 0.1%
110	1	< 0.1%
100	6	0.2%
90	24	0.9%
80	1	< 0.1%
60	8	0.3%
58	1	< 0.1%

maximum_nights
Real number (ℝ_≥0)

Distinct	88
Distinct (%)	3.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	631.4396584

Minimum	1
Maximum	10000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	21.2 KiB

Quantile statistics

Minimum	1
5-th percentile	10
Q1	31
median	1124
Q3	1125
95-th percentile	1125
Maximum	10000
Range	9999
Interquartile range (IQR)	1094

Descriptive statistics

Standard deviation	545.4670618
Coefficient of variation (CV)	0.8638466948
Kurtosis	30.26626838
Mean	631.4396584
Median Absolute Deviation (MAD)	1
Skewness	1.762793388
Sum	1700467
Variance	297534.3155
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1125	1345	49.9%
365	173	6.4%
30	156	5.8%
90	115	4.3%
28	110	4.1%
29	100	3.7%
180	83	3.1%
60	61	2.3%
7	45	1.7%
14	41	1.5%
Other values (78)	464	17.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	4	0.1%
2	10	0.4%
3	17	0.6%
4	10	0.4%
5	23	0.9%
6	7	0.3%
7	45	1.7%
8	4	0.1%
9	1	< 0.1%
10	31	1.2%

Value	Count	Frequency (%)
10000	1	< 0.1%
1125	1345	49.9%
1124	9	0.3%
1111	10	0.4%
1024	1	< 0.1%
1000	1	< 0.1%
999	7	0.3%
730	4	0.1%
700	1	< 0.1%
666	1	< 0.1%

has_availability
Boolean

HIGH CORRELATION

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.8 KiB

True	2662
False	31

Common Values
Category Frequency Plot

Value	Count	Frequency (%)
True	2662	98.8%
False	31	1.2%

availability_365
Real number (ℝ_≥0)

ZEROS

Distinct	333
Distinct (%)	12.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	181.1151133

Minimum	0
Maximum	365
Zeros	366
Zeros (%)	13.6%
Negative	0
Negative (%)	0.0%
Memory size	21.2 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	70
median	172
Q3	341
95-th percentile	365
Maximum	365
Range	365
Interquartile range (IQR)	271

Descriptive statistics

Standard deviation	135.6359605
Coefficient of variation (CV)	0.7488936626
Kurtosis	-1.484378512
Mean	181.1151133
Median Absolute Deviation (MAD)	133
Skewness	0.1447715771
Sum	487743
Variance	18397.11379
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	366	13.6%
365	290	10.8%
89	123	4.6%
179	91	3.4%
90	82	3.0%
364	74	2.7%
180	69	2.6%
363	49	1.8%
178	38	1.4%
359	37	1.4%
Other values (323)	1474	54.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	366	13.6%
1	13	0.5%
2	13	0.5%
3	14	0.5%
4	6	0.2%
5	4	0.1%
6	1	< 0.1%
7	6	0.2%
8	2	0.1%
9	4	0.1%

Value	Count	Frequency (%)
365	290	10.8%
364	74	2.7%
363	49	1.8%
362	28	1.0%
361	14	0.5%
360	31	1.2%
359	37	1.4%
358	26	1.0%
357	12	0.4%
356	11	0.4%

number_of_reviews
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	307
Distinct (%)	11.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	52.89119941

Minimum	0
Maximum	711
Zeros	400
Zeros (%)	14.9%
Negative	0
Negative (%)	0.0%
Memory size	21.2 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	2
median	20
Q3	68
95-th percentile	227.8
Maximum	711
Range	711
Interquartile range (IQR)	66

Descriptive statistics

Standard deviation	79.31751773
Coefficient of variation (CV)	1.499635452
Kurtosis	9.279092791
Mean	52.89119941
Median Absolute Deviation (MAD)	20
Skewness	2.616489209
Sum	142436
Variance	6291.268619
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	400	14.9%
1	172	6.4%
2	116	4.3%
3	73	2.7%
4	67	2.5%
6	58	2.2%
5	47	1.7%
7	41	1.5%
10	41	1.5%
9	40	1.5%
Other values (297)	1638	60.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	400	14.9%
1	172	6.4%
2	116	4.3%
3	73	2.7%
4	67	2.5%
5	47	1.7%
6	58	2.2%
7	41	1.5%
8	34	1.3%
9	40	1.5%

Value	Count	Frequency (%)
711	1	< 0.1%
624	1	< 0.1%
597	1	< 0.1%
585	1	< 0.1%
576	1	< 0.1%
541	1	< 0.1%
527	1	< 0.1%
488	1	< 0.1%
480	1	< 0.1%
461	1	< 0.1%

review_scores_rating
Real number (ℝ_≥0)

MISSING

Distinct	31
Distinct (%)	1.4%
Missing	414
Missing (%)	15.4%
Infinite	0
Infinite (%)	0.0%
Mean	95.74023695

Minimum	20
Maximum	100
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	21.2 KiB

Quantile statistics

Minimum	20
5-th percentile	86
Q1	94
median	97
Q3	100
95-th percentile	100
Maximum	100
Range	80
Interquartile range (IQR)	6

Descriptive statistics

Standard deviation	5.848700368
Coefficient of variation (CV)	0.06108926147
Kurtosis	35.50820327
Mean	95.74023695
Median Absolute Deviation (MAD)	3
Skewness	-4.329528794
Sum	218192
Variance	34.20729599
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=31)

Value	Count	Frequency (%)
100	571	21.2%
98	265	9.8%
99	261	9.7%
97	235	8.7%
96	199	7.4%
95	146	5.4%
94	104	3.9%
93	104	3.9%
92	73	2.7%
90	69	2.6%
Other values (21)	252	9.4%
(Missing)	414	15.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
20	2	0.1%
40	1	< 0.1%
60	11	0.4%
63	1	< 0.1%
65	1	< 0.1%
69	2	0.1%
70	2	0.1%
73	1	< 0.1%
75	2	0.1%
78	2	0.1%

Value	Count	Frequency (%)
100	571	21.2%
99	261	9.7%
98	265	9.8%
97	235	8.7%
96	199	7.4%
95	146	5.4%
94	104	3.9%
93	104	3.9%
92	73	2.7%
91	47	1.7%

instant_bookable
Boolean

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.8 KiB

False	1631
True	1062

Common Values
Category Frequency Plot

Value	Count	Frequency (%)
False	1631	60.6%
True	1062	39.4%

reviews_per_month
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING

Distinct	597
Distinct (%)	26.0%
Missing	400
Missing (%)	14.9%
Infinite	0
Infinite (%)	0.0%
Mean	1.874348016

Minimum	0.01
Maximum	20.04
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	21.2 KiB

Quantile statistics

Minimum	0.01
5-th percentile	0.07
Q1	0.39
median	1.18
Q3	2.71
95-th percentile	5.764
Maximum	20.04
Range	20.03
Interquartile range (IQR)	2.32

Descriptive statistics

Standard deviation	1.968969414
Coefficient of variation (CV)	1.0504823
Kurtosis	5.508210864
Mean	1.874348016
Median Absolute Deviation (MAD)	0.93
Skewness	1.84551262
Sum	4297.88
Variance	3.876840554
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.05	30	1.1%
0.07	26	1.0%
1	24	0.9%
0.11	24	0.9%
0.06	21	0.8%
0.03	19	0.7%
0.08	19	0.7%
0.14	19	0.7%
0.21	19	0.7%
0.04	18	0.7%
Other values (587)	2074	77.0%
(Missing)	400	14.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.01	2	0.1%
0.02	5	0.2%
0.03	19	0.7%
0.04	18	0.7%
0.05	30	1.1%
0.06	21	0.8%
0.07	26	1.0%
0.08	19	0.7%
0.09	18	0.7%
0.1	12	0.4%

Value	Count	Frequency (%)
20.04	1	< 0.1%
11.86	1	< 0.1%
10.96	1	< 0.1%
10.93	1	< 0.1%
10.67	1	< 0.1%
10.63	1	< 0.1%
10.32	1	< 0.1%
10.27	1	< 0.1%
10	1	< 0.1%
9.94	1	< 0.1%

Auto

The auto setting is an easily interpretable pairwise column metric of the following mapping: vartype-vartype : method, categorical-categorical : Cramer's V, numerical-categorical : Cramer's V (using a discretized numerical column), numerical-numerical : Spearman's ρ. This configuration uses the best suitable for each pair of columns.

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	id	host_id	host_name	host_since	host_response_time	host_response_rate	host_acceptance_rate	host_is_superhost	host_verifications	host_identity_verified	neighbourhood	room_type	accommodates	bedrooms	beds	amenities	minimum_nights	maximum_nights	has_availability	availability_365	number_of_reviews	review_scores_rating	instant_bookable	reviews_per_month
0	12651	49735	Laurel	10/29/09	within an hour	100%	98%	t	['email', 'phone', 'facebook', 'reviews', 'kba']	t	Menlo Park	Entire home/apt	1	1.0	1.0	["Private entrance", "Long term stays allowed", "Garden or backyard", "TJs Tea Tree Tingle conditioner", "Hot water", "Wifi", "Washer", "Kitchen", "Dryer", "Shampoo", "Essentials", "Hair dryer", "Luggage dropoff allowed", "Shower gel", "Portable fans", "Free street parking", "Dedicated workspace", "Heating", "Carbon monoxide alarm", "Iron", "Extra pillows and blankets", "Refrigerator", "Fire extinguisher", "Hangers", "First aid kit", "Smoke alarm", "Microwave", "Coffee maker", "Dishes and silverware", "Single level home", "Free parking on premises", "Patio or balcony", "Bed linens"]	3	365	t	356	151	98.0	t	1.13
1	39342	127367	Annette	5/18/10	within a few hours	100%	40%	f	['email', 'phone', 'reviews', 'offline_government_id', 'kba', 'government_id']	t	Pacifica	Entire home/apt	3	2.0	2.0	["Refrigerator", "Hot water", "Dishes and silverware", "Patio or balcony", "Bed linens", "Oven", "Hair dryer", "Extra pillows and blankets", "Long term stays allowed", "Hangers", "Smoke alarm", "Luggage dropoff allowed", "Coffee maker", "Wifi", "Iron", "Free street parking", "Microwave", "Keypad", "Dryer", "TV", "Private entrance", "Cable TV", "Dedicated workspace", "Cooking basics", "Kitchen", "Heating", "Fire extinguisher", "Shampoo", "Essentials", "Carbon monoxide alarm", "Washer", "Stove"]	30	365	t	365	2	90.0	f	0.02
2	40560	174725	Megan	7/20/10	NaN	NaN	48%	t	['email', 'phone', 'reviews', 'jumio', 'offline_government_id', 'government_id']	t	East Palo Alto	Private room	2	1.0	1.0	["Hot water", "Hangers", "Wifi", "Host greets you", "Smoke alarm", "EV charger", "First aid kit", "Luggage dropoff allowed", "Dishes and silverware", "Hair dryer", "Essentials", "Coffee maker", "Dedicated workspace", "Heating", "Iron", "Long term stays allowed", "Free street parking", "Carbon monoxide alarm", "Garden or backyard", "Cleaning before checkout", "Cable TV", "TV", "Shampoo"]	1	100	t	365	133	98.0	f	1.06
3	44504	195645	Maggie	8/8/10	within an hour	100%	100%	t	['email', 'phone', 'facebook', 'reviews', 'offline_government_id', 'kba', 'selfie', 'government_id', 'identity_manual', 'work_email']	t	Burlingame	Entire home/apt	2	1.0	1.0	["Iron", "Dishes and silverware", "Shampoo", "Laundromat nearby", "Fire extinguisher", "Patio or balcony", "Essentials", "Wine glasses", "Microwave", "Free street parking", "Smoke alarm", "First aid kit", "Carbon monoxide alarm", "Clothing storage", "Cleaning products", "Pour-over coffee", "Dedicated workspace", "Hair dryer", "Dining table", "Hot water", "Bed linens", "TV", "Heating", "Hangers", "Wifi", "Private entrance", "Coffee maker", "Room-darkening shades", "Refrigerator", "Hot water kettle", "Mini fridge", "Host greets you", "Extra pillows and blankets"]	3	28	t	179	150	97.0	f	1.20
4	45287	200479	Diane And Mike	8/13/10	within an hour	100%	94%	t	['email', 'phone', 'reviews', 'kba']	t	Burlingame	Entire home/apt	2	NaN	1.0	["Refrigerator", "Hot water", "Lockbox", "Dishes and silverware", "Patio or balcony", "Bed linens", "Oven", "Hair dryer", "Extra pillows and blankets", "Hangers", "Smoke alarm", "Luggage dropoff allowed", "Ethernet connection", "Coffee maker", "Wifi", "Iron", "Free street parking", "Shower gel", "Host greets you", "First aid kit", "Microwave", "Breakfast", "Dryer", "TV", "Private entrance", "Cable TV", "Garden or backyard", "Single level home", "Dedicated workspace", "Free parking on premises", "Kitchen", "Heating", "Fire extinguisher", "Shampoo", "Essentials", "Carbon monoxide alarm", "Washer", "Baking sheet"]	3	1125	t	177	257	98.0	f	2.07
5	45444	174725	Megan	7/20/10	NaN	NaN	48%	t	['email', 'phone', 'reviews', 'jumio', 'offline_government_id', 'government_id']	t	East Palo Alto	Private room	2	1.0	1.0	["Iron", "Shampoo", "Smoke alarm", "Private living room", "Carbon monoxide alarm", "Heating", "Hangers", "Wifi", "Essentials", "Free parking on premises", "Lockbox", "Dedicated workspace", "Hair dryer"]	1	7	t	365	46	98.0	f	0.38
6	55301	261070	Shannon	10/13/10	NaN	NaN	100%	t	['email', 'phone', 'reviews', 'manual_offline', 'jumio', 'government_id']	t	Menlo Park	Entire home/apt	3	1.0	1.0	["Private entrance", "Long term stays allowed", "Garden or backyard", "Hot water", "Washer", "Wifi", "Dryer", "Ethernet connection", "Shampoo", "Hair dryer", "Essentials", "Kitchen", "Luggage dropoff allowed", "Lockbox", "Free street parking", "Carbon monoxide alarm", "Heating", "Dedicated workspace", "Dishwasher", "Iron", "Stove", "Oven", "Extra pillows and blankets", "Body soap", "Refrigerator", "Cable TV", "Fire extinguisher", "TV", "Hangers", "First aid kit", "Smoke alarm", "Microwave", "Baking sheet", "Ceiling fan", "Coffee maker", "Cooking basics", "Dishes and silverware", "Conditioner", "Central air conditioning", "Single level home", "Free parking on premises", "Patio or balcony", "Bed linens"]	30	730	t	331	43	98.0	f	0.37
7	63146	308176	Jennifer	12/2/10	NaN	NaN	NaN	f	['email', 'phone']	f	Menlo Park	Entire home/apt	8	3.0	6.0	["Free parking on premises", "Heating", "Hangers", "Hair dryer", "TV", "Dedicated workspace", "Indoor fireplace", "Fire extinguisher", "Air conditioning", "Essentials", "Smoke alarm", "Dryer", "Luggage dropoff allowed", "Lockbox", "Iron", "Shampoo", "Bed linens", "Kitchen", "Washer", "First aid kit", "Carbon monoxide alarm", "Extra pillows and blankets", "Wifi", "Long term stays allowed", "Hot water", "Private entrance", "Cable TV"]	2	30	t	364	1	NaN	f	0.04
8	72211	101491	Jennifer	3/31/10	within an hour	100%	100%	t	['email', 'phone', 'reviews']	f	Portola Valley	Entire home/apt	8	3.0	5.0	["Iron", "Dishes and silverware", "Shampoo", "Fire extinguisher", "Keypad", "Single level home", "Patio or balcony", "Essentials", "Microwave", "Free street parking", "Cable TV", "Smoke alarm", "Extra pillows and blankets", "First aid kit", "Carbon monoxide alarm", "Garden or backyard", "Ethernet connection", "Dedicated workspace", "High chair", "Hair dryer", "Hot tub", "Stove", "Bathtub", "Dishwasher", "Hot water", "Bed linens", "TV", "Air conditioning", "Heating", "Hangers", "Wifi", "Pool", "Free parking on premises", "Oven", "Private entrance", "Coffee maker", "Room-darkening shades", "Refrigerator", "Children\u2019s books and toys", "Game console", "Kitchen", "Long term stays allowed", "Washer", "Pack \u2019n Play/travel crib", "Cooking basics", "Dryer"]	3	190	t	262	103	98.0	t	0.88
9	83584	127367	Annette	5/18/10	within a few hours	100%	40%	f	['email', 'phone', 'reviews', 'offline_government_id', 'kba', 'government_id']	t	Pacifica	Entire home/apt	2	1.0	1.0	["Refrigerator", "Hot water", "Dishes and silverware", "Oven", "Hair dryer", "Long term stays allowed", "Hangers", "Smoke alarm", "Luggage dropoff allowed", "Coffee maker", "Wifi", "Iron", "Free street parking", "Microwave", "Keypad", "Dryer", "TV", "Dedicated workspace", "Cooking basics", "Kitchen", "Fire extinguisher", "Shampoo", "Essentials", "Carbon monoxide alarm", "Washer"]	30	290	t	365	6	90.0	f	0.09

Last rows

	id	host_id	host_name	host_since	host_response_time	host_response_rate	host_acceptance_rate	host_is_superhost	host_verifications	host_identity_verified	neighbourhood	room_type	accommodates	bedrooms	beds	amenities	minimum_nights	maximum_nights	has_availability	availability_365	number_of_reviews	review_scores_rating	instant_bookable	reviews_per_month
2683	47268762	57058531	Yusu	2/1/16	within an hour	96%	98%	f	['email', 'phone', 'offline_government_id', 'government_id']	t	South San Francisco	Shared room	1	1.0	1.0	["Iron", "Breakfast", "Dishes and silverware", "Shampoo", "Luggage dropoff allowed", "Fire extinguisher", "Essentials", "Freezer", "HDTV with Netflix", "Microwave", "Free street parking", "Smoke alarm", "First aid kit", "Carbon monoxide alarm", "Smart lock", "Dedicated workspace", "Hair dryer", "Body soap", "Dining table", "Stove", "Bathtub", "Hot water", "Conditioner", "Portable fans", "Heating", "Hangers", "Wifi", "Free parking on premises", "Oven", "Shower gel", "Coffee maker", "Room-darkening shades", "Refrigerator", "Children\u2019s books and toys", "Kitchen", "Long term stays allowed", "Hot water kettle", "Washer", "Cooking basics", "Dryer"]	1	1125	t	79	1	60.0	f	1.0
2684	47270034	209426739	Grace	8/14/18	within an hour	100%	100%	f	['phone', 'offline_government_id', 'selfie', 'government_id', 'identity_manual']	t	Pacifica	Entire home/apt	2	1.0	1.0	["Smoke alarm", "Dryer", "Hot water", "Kitchen", "Private entrance", "Wifi", "Heating", "Essentials", "Carbon monoxide alarm", "Washer"]	1	365	t	3	2	100.0	t	2.0
2685	47274251	226555948	Gi'Angelo	11/19/18	within an hour	100%	95%	t	['email', 'phone', 'reviews', 'offline_government_id', 'government_id']	t	Daly City	Entire home/apt	7	4.0	4.0	["Iron", "Dishes and silverware", "Shampoo", "Paid parking garage on premises \u2013 1 space", "Fire extinguisher", "Keypad", "Essentials", "Freezer", "Wine glasses", "Microwave", "Free street parking", "Toaster", "Smoke alarm", "First aid kit", "Carbon monoxide alarm", "Cleaning products", "Dedicated workspace", "Baking sheet", "Hair dryer", "Dining table", "Stove", "Bathtub", "Dishwasher", "Hot water", "Bed linens", "TV", "Conditioner", "Heating", "Hangers", "Wifi", "Oven", "Shower gel", "Rice maker", "Coffee maker", "Room-darkening shades", "Body wash body soap", "Refrigerator", "Kitchen", "Clothing storage: closet", "Hot water kettle", "Cooking basics"]	30	90	t	0	0	NaN	f	NaN
2686	47274359	226555948	Gi'Angelo	11/19/18	within an hour	100%	95%	t	['email', 'phone', 'reviews', 'offline_government_id', 'government_id']	t	Daly City	Private room	1	1.0	1.0	["Oven", "Hot water", "Stove", "Hair dryer", "Body wash body soap", "Kitchen", "Microwave", "Shampoo", "Wine glasses", "Iron", "Lock on bedroom door", "Dishes and silverware", "Paid parking garage on premises \u2013 1 space", "Free street parking", "Keypad", "Coffee maker", "TV", "Wifi", "Conditioner", "Fire extinguisher", "Freezer", "Cooking basics", "Heating", "Carbon monoxide alarm", "Bed linens", "Toaster", "Refrigerator", "Rice maker", "First aid kit", "Hangers", "Mini fridge", "Clothing storage: closet", "Dishwasher", "Dedicated workspace", "Smoke alarm", "Baking sheet", "Dining table", "Room-darkening shades", "Cleaning products", "Hot water kettle", "Essentials", "Shower gel"]	30	120	t	0	0	NaN	f	NaN
2687	47274445	226555948	Gi'Angelo	11/19/18	within an hour	100%	95%	t	['email', 'phone', 'reviews', 'offline_government_id', 'government_id']	t	Daly City	Private room	1	1.0	1.0	["Oven", "Hot water", "Stove", "Hair dryer", "Kitchen", "Body wash body soap", "Microwave", "Shampoo", "Iron", "Lock on bedroom door", "Dishes and silverware", "Free street parking", "Keypad", "Coffee maker", "TV", "Wifi", "Essentials", "Conditioner", "Fire extinguisher", "Freezer", "Cooking basics", "Heating", "Carbon monoxide alarm", "Bed linens", "Refrigerator", "Rice maker", "Mini fridge", "Hangers", "First aid kit", "Dishwasher", "Dedicated workspace", "Smoke alarm", "Baking sheet", "Room-darkening shades", "Paid parking garage on premises \u2013 1 space", "Shower gel"]	30	120	t	0	0	NaN	f	NaN
2688	47274637	226555948	Gi'Angelo	11/19/18	within an hour	100%	95%	t	['email', 'phone', 'reviews', 'offline_government_id', 'government_id']	t	Daly City	Private room	1	1.0	1.0	["Iron", "Dishes and silverware", "Shampoo", "Paid parking garage on premises \u2013 1 space", "Fire extinguisher", "Keypad", "Essentials", "Freezer", "Wine glasses", "Microwave", "Free street parking", "Toaster", "Smoke alarm", "First aid kit", "Carbon monoxide alarm", "Cleaning products", "Lock on bedroom door", "Dedicated workspace", "Baking sheet", "Hair dryer", "Dining table", "Stove", "Dishwasher", "Hot water", "Bed linens", "TV", "Conditioner", "Heating", "Hangers", "Wifi", "Oven", "Shower gel", "Rice maker", "Coffee maker", "Room-darkening shades", "Body wash body soap", "Refrigerator", "Kitchen", "Clothing storage: closet", "Hot water kettle", "Mini fridge", "Cooking basics"]	30	120	t	178	0	NaN	f	NaN
2689	47274772	226555948	Gi'Angelo	11/19/18	within an hour	100%	95%	t	['email', 'phone', 'reviews', 'offline_government_id', 'government_id']	t	Daly City	Private room	1	1.0	1.0	["Body wash body soap", "Refrigerator", "Hot water", "Mini fridge", "Dishes and silverware", "Bed linens", "Oven", "Hair dryer", "Freezer", "Hangers", "Smoke alarm", "Clothing storage: closet", "Stainless steel stove", "Coffee maker", "Wifi", "Lock on bedroom door", "Iron", "Free street parking", "Shower gel", "Room-darkening shades", "First aid kit", "Microwave", "Baking sheet", "Dishwasher", "Keypad", "Toaster", "TV", "Wine glasses", "Conditioner", "Dedicated workspace", "Rice maker", "Cooking basics", "Kitchen", "Heating", "Fire extinguisher", "Shampoo", "Hot water kettle", "Essentials", "Cleaning products", "Carbon monoxide alarm", "Dining table", "Paid parking garage on premises \u2013 1 space"]	30	120	t	150	0	NaN	f	NaN
2690	47291853	368763236	Rolf & Noah As Manager	9/22/20	within an hour	100%	93%	f	['phone', 'offline_government_id', 'selfie', 'government_id', 'identity_manual']	t	Unincorporated Areas	Entire home/apt	4	2.0	2.0	["Smoke alarm", "TV", "Heating", "Iron", "Hot water", "Fire extinguisher", "Hangers", "First aid kit", "Carbon monoxide alarm", "Wifi", "Dryer", "Kitchen", "Washer", "Hot tub", "Essentials", "Private entrance", "Indoor fireplace", "Shampoo", "Free parking on premises"]	5	10	t	302	0	NaN	t	NaN
2691	47295017	41574587	Enrique And Vienna Of Q Management	8/15/15	within an hour	86%	98%	f	['email', 'phone', 'reviews', 'kba']	f	South San Francisco	Entire home/apt	4	2.0	2.0	["Mini fridge", "Hair dryer", "Hangers", "Smoke alarm", "Smart lock", "Coffee maker", "Wifi", "Iron", "Microwave", "Breakfast", "Dryer", "Private entrance", "Dedicated workspace", "Cooking basics", "Indoor fireplace", "Kitchen", "Heating", "Fire extinguisher", "Shampoo", "Essentials", "Carbon monoxide alarm", "Washer"]	1	29	t	347	0	NaN	t	NaN
2692	47299925	188426286	Liz	5/7/18	NaN	NaN	NaN	f	['email', 'phone', 'offline_government_id', 'selfie', 'government_id']	t	San Mateo	Private room	1	NaN	1.0	["Kitchen", "Gym", "Essentials", "Hot water", "Shampoo", "Washer", "Wifi", "Smoke alarm", "First aid kit", "Fire extinguisher", "Carbon monoxide alarm", "Pool", "Lock on bedroom door", "Dryer"]	1	365	t	147	0	NaN	f	NaN

Overview

Variables

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Other Punctuation

Decimal Number

Other Letter

Space Separator

Open Punctuation

Close Punctuation

Dash Punctuation

Math Symbol

Most occurring scripts

Most frequent character per script

Latin

Common

Han

Most occurring blocks

Most frequent character per block

ASCII

None

CJK

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Space Separator

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block